Peter M. Syka

11 papers and 474 indexed citations i.

About

Peter M. Syka is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Peter M. Syka has authored 11 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Peter M. Syka’s work include Estrogen and related hormone effects (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Peter M. Syka is often cited by papers focused on Estrogen and related hormone effects (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Peter M. Syka collaborates with scholars based in United States and Italy. Peter M. Syka's co-authors include Richard A. Heyman, Renato Dulbecco, David J. Mangelsdorf, Deepak S. Lala, Keith L. Parker, Michael Unger, M Bowman, Hector Battifora, Seiji Okada and Mauro Bologna and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Peter M. Syka i

Fields of papers citing papers by Peter M. Syka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Syka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter M. Syka. The network helps show where Peter M. Syka may publish in the future.

Countries citing papers authored by Peter M. Syka

Since Specialization
Citations

This map shows the geographic impact of Peter M. Syka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter M. Syka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Syka more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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